Sensitivity Analysis
Sensitivity Analysis on World Data Ocean: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on sensitivity analysis in some way — the news, the analysis, the deep dives, and the occasional surprise find. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to explore, analyze, and… New stories are added to this page as we find them, so check back if you want to keep up with what is happening around sensitivity analysis, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything World Data Ocean is covering right now.
Assessing multidimensional resilience using an eigenvalue-based local linear dynamic model: a case study of Hangzhou Bay coast zone, China
Coastal zones represent vital interfaces for ecological health, socioeconomic progress, and disaster mitigation, demanding robust resilience assessments. This study introduces an eigenvalue-based local linear dynamic model—a novel approach for evaluating multidimensional coastal resilience, utilizing stability, recoverability, and transformability as key state variables. Applied to the Hangzhou Bay coast zone (2010-2023), the model reveals generally improving resilience dimensions with varied temporal patterns. For further exploration of related challenges, see our article, "Evaluation of challenges to marine plastic waste management."
Evaluation of challenges to marine plastic waste management with an integrated multiple-criteria decision-making approach
Marine plastic pollution represents a critical global environmental threat, demanding robust and validated management strategies. This study utilizes an integrated, multi-criteria decision-making framework—employing Fermatean Fuzzy Sets, Analytic Hierarchy Process, and Decision-Making Trial and Evaluation Laboratory—to assess key challenges impeding effective waste management. Our analysis, informed by expert consensus and a comprehensive literature review, identifies deficiencies in real-time data, social awareness, coastal planning, scientific guidance, and enforcement as primary obstacles.